BCEIA 2025即将盛大启幕，四十年辉煌历史，业界共襄全球分析科学与仪器盛会

Core Viewpoint - The 21st Beijing Conference on Analytical Testing (BCEIA 2025) will be held from September 10 to 12, 2025, at the China International Exhibition Center in Beijing, focusing on the theme "Forty Glorious Years, A New Chapter" to commemorate the 40th anniversary of BCEIA [2][15]. Group 1: Event Overview - BCEIA 2025 will feature nearly a thousand academic reports and over 4,000 domestic and international experts and scholars in attendance [2][5]. - The event aims to showcase the latest achievements in analytical science and instrumentation, focusing on industry hot topics and technological trends [2][5]. Group 2: Academic and Technical Highlights - The conference will include a keynote speech by Academician Jiang Guibin, reviewing the 40-year development of BCEIA and exploring future directions in analytical testing science [5]. - Topics of interest will include genomics, single-cell sequencing, and artificial intelligence, with 18 specialized academic sub-sessions covering key areas such as mass spectrometry, chromatography, and environmental analysis [5][6]. Group 3: Exhibition Details - The exhibition will cover an area of 53,400 square meters, showcasing nearly 10,000 products and attracting over 30,000 professional visitors [10]. - More than 700 renowned companies from home and abroad are expected to participate, displaying cutting-edge analytical instruments, new materials, and innovative applications across various sectors including healthcare, environmental protection, and advanced manufacturing [12][14]. Group 4: Networking and Collaboration Opportunities - The event will host a series of networking activities, including a forum for young scientists and meetings with editors of prestigious journals, aimed at fostering cross-disciplinary innovation and international collaboration [6][12]. - BCEIA 2025 serves as a platform for the integration of analysis testing with key fields such as intelligent manufacturing and biomedicine, emphasizing the importance of machine learning and artificial intelligence in the industry [15][16].